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ChromHMM is software for learning and characterizing chromatin states. ChromHMM can integrate multiple chromatin datasets such as ChIP-seq data of various histone modifications to discover de novo the major re-occuring combinatorial and spatial patterns of marks. ChromHMM is based on a multivariate Hidden Markov Model that explicitly models the presence or absence of each chromatin mark. The resul
2 Introduction cummeRbund is a visualization package for Cufflinks high-throughput sequencing data. It is designed to help you navigate through the large amount of data produced from a Cuffdiff RNA-Seq differential expression analysis. The results of this analysis are typically a large number of inter-related files that are not terribly intuitive to navigate through. cummeRbund helps promote rapi
Overview High-throughput sequencing of RNA-fragments is a powerful technique that has many applications, including but not limited to transcript assembly, qantitation, and differential expression analysis. The results of these analyses is often very large data sets with a high degree of relations between various data types and can be somewhat overwhelming. CummeRbund was designed to help simplify
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